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Image Classification with Amazon Sagemaker(으)로 돌아가기

Coursera Project Network의 Image Classification with Amazon Sagemaker 학습자 리뷰 및 피드백

4.6
별점
90개의 평가
•
15개의 리뷰

강좌 소개

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access. In this 2-hour long project-based course, you will learn how to train and deploy an image classifier using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the image classification algorithm from Sagemaker to create, train and deploy a model that will be able to classify 37 breeds of dogs and cats from the popular IIIT-Oxford Pets Dataset. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

최상위 리뷰

DZ
2020년 5월 1일

This course is very helpful for you to create a warmup code with AWS Sagemaker and image classification.

SG
2020년 10월 6일

I love this course. Need to know more about custom mage codes in sagemaker.

필터링 기준:

Image Classification with Amazon Sagemaker의 15개 리뷰 중 1~15

교육 기관: Dinesh Z

•
2020년 5월 2일

This course is very helpful for you to create a warmup code with AWS Sagemaker and image classification.

교육 기관: T S G

•
2020년 10월 7일

I love this course. Need to know more about custom mage codes in sagemaker.

교육 기관: Karem B

•
2020년 9월 11일

very easy step by step guided project

교육 기관: SUGUNA M

•
2020년 11월 19일

Good project based course

교육 기관: XAVIER S M

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2020년 5월 31일

Thank You !

교육 기관: Doss D

•
2020년 6월 24일

Thank you

교육 기관: purnachand k

•
2020년 5월 12일

Excellent

교육 기관: Md. T U B

•
2020년 9월 2일

great

교육 기관: p s

•
2020년 6월 22일

Nice

교육 기관: Florian C

•
2021년 4월 18일

You get the basics explained quick and dirty but there will be still much you do not understand and have to learn about after this project both regarding SageMaker and its libraries as well as building and deploying ML models in general .

교육 기관: Matapathi S

•
2020년 6월 15일

Thank you

교육 기관: SAI P M

•
2020년 6월 29일

not bad

교육 기관: Changwoo H

•
2021년 4월 17일

This is Not 2hr course. It's takes 24hr or more. Instructor should have announced about train instances are not available in most of the cases. To extend limits students have to wait response of aws.

교육 기관: Wen-Wei X

•
2021년 4월 5일

too simple, did not show the overall accuracy in validation test set and potential way to improve it

교육 기관: Tobias H

•
2020년 7월 25일

i want to the loading data and more

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